| 基于云平台的学生学情分析 |
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| 引用本文： | 胡亚慧,肖 蕾,唐 晓,陈 新,方其庆. 基于云平台的学生学情分析[J]. 教育技术导刊, 2020, 19(2): 254-257. DOI: 10. 11907/rjdk. 191971 |
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| 作者姓名： | 胡亚慧 肖 蕾 唐 晓 陈 新 方其庆 |
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| 作者单位： | 1. 空军预警学院 预警情报系；2.空军预警学院 预警装备系，湖北 武汉 430019 |
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| 摘 要： | 为更有效地向学生推荐合适的学习资源，综合考虑学生基本信息、课程基本信息、位置信息、时间信息等因素，构建基于时空的学生学习资源库，从而提取学生学习特征，挖掘学生学习特点，发现学生学习偏好，推荐学生可能感兴趣的学习资源，并分析影响学习质量的主要因素，从学生学习行为中发现其学习偏好。经实践证明发现，该方法有利于为学生推荐合适的学习资源，使教师及时掌握学生学习情况。
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| 关 键 词： | 云平台 学情分析 学习行为 学习偏好 |
| 收稿时间： | 2019-09-04 |
Learning Situation Analysis Based on Cloud Platform |
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| HU Ya-hui,XIAO Lei,TANG Xiao,CHEN Xin,FANG Qi-qing. Learning Situation Analysis Based on Cloud Platform[J]. Introduction of Educational Technology, 2020, 19(2): 254-257. DOI: 10. 11907/rjdk. 191971 |
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| Authors: | HU Ya-hui XIAO Lei TANG Xiao CHEN Xin FANG Qi-qing |
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| Affiliation: | 1. Early Warning Information Department， Air Force Early Warning Academy；2. Early Warning Equipment Department， Air Force Early Warning Academy， Wuhan 430019， China |
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| Abstract: | For improving the efficiency of learning situation recommendation， a learning resource database based on time and space is constructed from basic information of students， courses， locations and time information， so as to extract learning situation characteristics， explore their characteristics， discover their preferences， recommend the related interests and analysis of the important factors affecting the quality of learning， so as to realize the discovery of learning preferences from learning situation behavior. Practice has proved that this method is conducive to recommending learning resources for students and grasping their learning situation in time. |
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| Keywords: | cloud platform learning situation analysis learning behavior learning preference |
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